Originally published in my LinkedIn newsletter, July 2026.
Today we at the Center for Trustworthy AI publish Centru 3, the third release of our strategic reference model for optimizing AI investment, managing risk, and scaling with confidence. We publish it openly, as part of the Center’s education mission, the full specification, free to anyone. Here is why we built it.
Nations are, to a great degree, the product of the technologies available to them at their founding. So are organizations. The framers of the American Constitution, for example, considered communication so foundational that a postal service was among the few operational powers they explicitly spelled out. The telegraph, the railways, the jet age, and the internet each expanded what both the world’s nations and its firms could become over the centuries that followed. Every one of those technologies gave the institutions of their eras time to absorb it.
Artificial intelligence will not. Here is a technology that improves upon itself in a matter of months, that writes the code for its own next version, like a railway track laying more railway tracks at an ever-faster pace. No nation possesses the legislative or policy-making capacity to evolve at that speed. Neither does any organization’s operating model, governance, or architecture. This is precisely the problem our model exists to solve, for the leaders and practitioners doing the work.
The AI most people encounter daily—a clever assistant, a variably reliable bit of office productivity kit—obscures what is actually happening. A technology that reads a hundred books a minute and forgets nothing is not the AI of tomorrow; it is the AI of yesterday. In the years just ahead, it will help us cure disease, engineer new marvels, and stimulate prosperity in sectors that don’t yet exist. It will also, in the wrong hands or under negligent stewardship, do great harm. Which of these prevails depends, as US President Kennedy said of another technology racing ahead of its era, not on the technology, which “has no conscience of its own,” but on us. To be trustworthy, AI must be guided, constrained, and put to task by the human compass.
That conviction is why Centru exists, and why this release is different from anything we have published before.
Centru 3 is not another paper. It is the third release of Centru, our strategic reference model (a core model, not a large language model, designed to work with whichever LLMs an organization already trusts). This is the release in which the work completed its evolution from a framework you read into an instrument you use. Its foundation, Centru Core, pairs five pillars and twenty-five dimensions with a maturity model that measures an organization against them. For the first time, each dimension is mathematically weighted, so the model doesn’t merely describe where an organization stands, but tells it where to act. Around that Core, Centru Knowledge accumulates the patterns and practices of building AI safely and well, and Centru Skills—live agents that stand up real infrastructure under human direction—run today, in real-world organizations’ environments.
We publish the full specification of Centru Core openly because trust demands that we show our work: a model asking to guide an organization’s most consequential technology decisions should be explainable, inspectable, plainly set down, and widely shared.
So, starting today...
📄 Read the paper. Centru 3 is free to download from the Center for Trustworthy AI, where Centru is a standing project — the paper, the research behind it, and the work ahead.
⚙️ And for organizations ready to put the model to work, Centru.ai is soon opening to early access partners — learn more at https://cloudlight.house/centru.
My deep gratitude to my co-authors and contributors—Ana Welch, Chris Huntingford, and Ioana Tanase—our editor, Keegan Chambers, and to the Center’s members including AIS (Applied Information Sciences), Damco Solutions, Godel Technologies Europe, SIS Global, and Microsoft whose support makes work like this possible.
We are devoted optimists about AI’s promised miracle and wonder. But those wonders will be neither free nor without peril, and it is only by building trust brick by brick that we will prevail. This model is our contribution to that work. We hope you will take it up and, from there, make it your own.